MrKevin Michalewicz

Kevin Michalewicz completed his PhD at Imperial College London, where he studied machine learning techniques for antibody design under the supervision of Dr Barbara Bravi and Professor Mauricio Barahona. During his PhD, he was a President's Scholar at the Department of Mathematics and a student representative at the Department and Faculty levels. He also conducted research on large multimodal generative models for antibody design at AstraZeneca. Currently, he is an assistant professor teaching Natural Language Processing at the University of Buenos Aires.

Before that, he obtained his engineering degree at the French Grande École IMT Atlantique and his Master’s degree in signal processing (SISEA) at Université de Rennes I in the context of a double degree agreement with Argentina. There he studied electronic engineering at the Faculty of Engineering of the University of Buenos Aires. He also taught two physics courses: Electricity and Magnetism for two years and Quantum Mechanics for half a year.

He has also been a gravitational lens deconvolution and PSF intern at LASTRO (Laboratory of Astrophysics, École Polytechnique Fédérale de Lausanne, Switzerland) under the supervision of Frédéric Courbin and Cecilia Galarza. Earlier in his career, he did an internship at CEA Paris-Saclay (Alternative Energies and Atomic Energy Commission) in the CosmoStat Laboratory in 2021. His project was about the study of astrophysical image reconstruction using neural networks.